I wonder if anyone has written some additional R code to perform
weighted logistic regression in the way of SAS PROC LGOISTIC WEIGHT
statement. I want to weight the sample using a vector of probabilities
generated from Dirichlet distribution.
It is known that the R function glm has a WEIGHT option but it only
takes a vector of integers which are the number of trials for each
response. I wonder if anyone has written other R functions to perform
the same job SAS PROC LGGISTIC WEIGHT statement does?
Here is the post I read at stats.stackexchange.com
Case weighted logistic regression - Cross Validated
Case weighted logistic regression - Cross Validated
I'm looking at a few logistic regression issues. ("regular" and "conditional").
View on stats.stackexchange.com Preview by Yahoo
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
